---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: CommitPredictor
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# CommitPredictor

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1076
- Accuracy: 0.7284
- F1: 0.7284
- Bleu4: 0.7262

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Bleu4  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|
| No log        | 1.0   | 1    | 2.4321          | 0.7137   | 0.7137 | 0.5207 |
| No log        | 2.0   | 2    | 2.2808          | 0.7186   | 0.7186 | 0.6834 |
| No log        | 3.0   | 3    | 2.1813          | 0.7273   | 0.7273 | 0.6974 |
| No log        | 4.0   | 4    | 2.2816          | 0.7316   | 0.7316 | 0.6591 |
| No log        | 5.0   | 5    | 2.1076          | 0.7284   | 0.7284 | 0.7262 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2